نتایج جستجو برای: acoustic signal processing

تعداد نتایج: 883367  

2012
YANG Jin

This paper conducts acoustic experiments from a signal processing perspective, to examine the “-/a/ /C_” syllable narrow focus processing strategy of English L2 learners. The research discusses F0, OQ and SQ as key phonatory acoustic parameters. L2 strategies are examined by measuring deviations from L1 group to L2 group. The matrix distance reflects L1’s traces in the interlanguage system.

2012
W. A. Kuperman H. C. Song

The combination of ocean acoustical physics and signal processing has been the central theme of our research over the last twenty years. In particular, the thrust of our research has been in matched field processing, waveguide invariant physics, time reversal acoustics, acoustic communications, sensitivity kernel analysis, and correlation based noised processing. Common to all these areas is th...

Hamzavi, Rostam, Younesian,

In recent years, need to increase the convenience of trips in railway vehicles causes that train operators and manufacturers focus on reducing the noise level which is sensed by passengers. In this paper, first the state of modeling acoustic noise in cab train is discussed and natural frequencies and acoustic mode shapes are derived and then formulation of acoustic pressure in the cab will be o...

Journal: :iranian journal of medical physics 0
ateke goshvarpour computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran ataollah abbasi computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran atefeh goshvarpour computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran

introduction automatic human emotion recognition is one of the most interesting topics in the field of affective computing. however, development of a reliable approach with a reasonable recognition rate is a challenging task. the main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (hrv). in t...

Speech recognition is a subfield of artificial intelligence that develops technologies to convert speech utterance into transcription. So far, various methods such as hidden Markov models and artificial neural networks have been used to develop speech recognition systems. In most of these systems, the speech signal frames are processed uniformly, while the information is not evenly distributed ...

Journal: :Biomedical Signal Processing and Control 2021

This paper addresses the application of digital signal processing (DSP) techniques to robust measurement acoustical features human voice. It then use regression based for estimation grade, roughness, breathiness, asthenia and strain, from these features. These five properties voice are basis widely used ‘GRBAS’ characterisation disorders. A well-known cross-correlation technique has been enhanc...

Journal: :IOP Conference Series: Materials Science and Engineering 2015

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